activity
20182026
most citedCollision Avoidance for Unmanned Aerial Vehicles in the Presence of Static and Moving Obstacles

45 citations · 68 across the 27 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.RO2024

Transformer-Based Model Predictive Path Integral Control

Shrenik Zinage, Vrushabh Zinage, Efstathios Bakolas

This paper presents a novel approach to improve the Model Predictive Path Integral (MPPI) control by using a transformer to initialize the mean control sequence. Traditional MPPI m…

cs.RO20241 cited

Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation

Vrushabh Zinage, Abhishek Jha, Rohan Chandra +1

To deploy safe and agile robots in cluttered environments, there is a need to develop fully decentralized controllers that guarantee safety, respect actuation limits, prevent deadl…

cs.RO20243 cited

TransformerMPC: Accelerating Model Predictive Control via Transformers

Vrushabh Zinage, Ahmed Khalil, Efstathios Bakolas

In this paper, we address the problem of reducing the computational burden of Model Predictive Control (MPC) for real-time robotic applications. We propose TransformerMPC, a method…

eess.SY2024

Guarding a Target Area from a Heterogeneous Group of Cooperative Attackers

Yoonjae Lee, Goutam Das, Daigo Shishika +1

In this paper, we investigate a multi-agent target guarding problem in which a single defender seeks to capture multiple attackers aiming to reach a high-value target area. In cont…

eess.SY2024

Leveraging Gated Recurrent Units for Iterative Online Precise Attitude Control for Geodetic Missions

Vrushabh Zinage, Shrenik Zinage, Srinivas Bettadpur +1

In this paper, we consider the problem of precise attitude control for geodetic missions, such as the GRACE Follow-on (GRACE-FO) mission. Traditional and well-established control m…

eess.SY2024

Path Integral Control with Rollout Clustering and Dynamic Obstacles

Steven Patrick, Efstathios Bakolas

Model Predictive Path Integral (MPPI) control has proven to be a powerful tool for the control of uncertain systems (such as systems subject to disturbances and systems with unmode…